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Handling Missing Values Using Pandas dropna, drop, fillna
Автор: Learn AI with Rawal
Загружено: 2025-12-10
Просмотров: 14
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Missing values can create problems for any machine learning model, so the first cleaning step is understanding how to deal with them. In this video, we explore three simple Pandas methods for handling missing data — dropping rows, dropping columns, and filling missing values with a value such as the median. This follows the Hands-On Machine Learning approach and builds a solid foundation before moving into ML-specific tools.
#pandas #datascience #machinelearning #python #aiprogress #datacleaning
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